Proteomics of the phase angle: Results from the population-based KORA S4 study

被引:4
|
作者
Huemer, Marie-Theres [1 ]
Petrera, Agnese [2 ]
Hauck, Stefanie M. [2 ]
Drey, Michael [3 ]
Peters, Annette [1 ,4 ,5 ]
Thorand, Barbara [1 ,4 ]
机构
[1] German Res Ctr Environm Hlth GmbH, Inst Epidemiol, Helmholtz Zentrum Munchen, Ingolstadter Landstr 1, D-85764 Neuherberg, Germany
[2] German Res Ctr Environm Hlth GmbH, Helmholtz Zentrum Munchen, Res Unit Prot Sci & Metabol & Prote Core, Heidemannstr 1, D-80939 Munich, Germany
[3] Ludwig Maximilians Univ Munchen, Univ Hosp, Dept Med 4, Geriatr, Ziemssenstr 5, D-80336 Munich, Germany
[4] German Ctr Diabet Res DZD, Ingolstadter Landstr 1, D-85764 Munich, Germany
[5] Ludwig Maximilians Univ Munchen, Med Fac, Inst Med Informat Proc Biometry & Epidemiol, Chair Epidemiol, Marchioninistr 15, D-81377 Munich, Germany
关键词
Phase angle; Proteomics; Protein marker; Enrichment analysis; Network analysis; Bioelectrical impedance analysis; HEART-FAILURE; CYTOSCAPE; MUSCLE; BIOMARKERS; MYOGLOBIN; MARKERS;
D O I
10.1016/j.clnu.2022.06.038
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background & aims: The phase angle (PhA) measured with bioelectrical impedance analysis is considered to reflect the interrelated components body cell mass and fluid distribution based on technical and physical aspects of the PhA measurement. However, the biomedical meaning of the PhA remains vague. Previous studies mainly assessed associations of the PhA with numerous diseases and health outcomes, but few connected protein markers to the PhA. To broaden our understanding of the biomedical background of the PhA, we aimed to explore a proteomics profile associated with the PhA and related biological factors. Methods: The study sample encompassed 1484 participants (725 women and 759 men) aged 55-74 years from the population-based Cooperative Health Research in the Region of Augsburg (KORA) S4 study. Proteomics measurements were performed with a proximity extension assay. We employed boosting with stability selection to establish a set of markers that was strongly associated with the PhA from a group of 233 plasma protein markers. We integrated the selected protein markers into a network and enrichment analysis to identify gene ontology (GO) terms significantly overrepresented for the selected PhA protein markers. Results: Boosting with stability selection identified seven protein markers that were strongly and independently associated with the PhA: N-terminal prohormone brain natriuretic peptide (NT-proBNP), insulin-like growth factor-binding protein 2 (IGFBP2), adrenomedullin (ADM), myoglobin (MB), matrix metalloproteinase-9 (MMP9), protein-glutamine gamma-glutamyltransferase 2 (TGM2), and fractalkine (CX3CL1) [beta coefficient per 1 standard deviation increase in normalized protein expression values on a log 2 scale (95% confidence interval): -0.12 (-0.15, -0.08), -0.13 (-0.17, -0.09), -0.14 (-0.18, -0.10), 0.10 (0.07, 0.14), 0.07 (0.04, 0.10), 0.08 (0.05, 0.11), -0.06 (-0.10, -0.03), respectively]. According to the enrichment analysis, this protein profile was significantly overrepresented in the following top five GO terms: positive regulation of cell population proliferation (p-value: 1.32E-04), extracellular space (pvalue: 1.34E-04), anatomical structure formation involved in morphogenesis (p-value: 2.92E-04), regulation of multicellular organismal development (p-value: 5.72E-04), and metal ion homeostasis (p-value: 8.86E-04. Conclusion: Implementing a proteomics approach, we identified six new protein markers strongly associated with the PhA and confirmed that NT-proBNP is a key PhA marker. The main biological processes that were related to this PhA's protein profile are involved in regulating the amount and growth of
引用
收藏
页码:1818 / 1826
页数:9
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